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Section: ebiBeyond Fitness: Revolutionary Exercise Tracker Combining Pose Recognition with Heart Rate Monitoring using Remote Photoplethysmography (rPPG)
Heart rate (HR) is a critical indicator in fitness monitoring, athletic performance evaluation, and injury prevention. However, traditional motion-sensitive wearable devices are highly susceptible to movement artifacts, which degrade measurement accuracy during physical activity. Remote photoplethysmography (rPPG) offers a non-contact alternative for HR measurement, though it too remains sensitive to motion. This study proposes a…
Read MoreEffectiveness of a voice analysis technique in the assessment of depression status of individuals from Ho Chi Minh City, Viet Nam: A cross-sectional study
The Mind Monitoring System (MIMOSYS) is a novel voice analysis technique for mental health assessment that has been validated in some languages; however, no research has been conducted on the Vietnamese yet. This study aimed to examine the ability of the Vitality score extracted from the MIMOSYS system to assess depression status based on the…
Read MoreTowards Real-Time Multi-Class Object Detection and Tracking for the FLS Pattern Cutting Task
The advent of laparoscopic surgery has increased the need to incorporate simulator-based training into traditional training programs to improve resident training and feedback. However, current training methods rely on expert surgeons to evaluate the dexterity of trainees, a time-consuming and subjective process. Through this research, we aim to extend the use of object detection in…
Read MoreEEG Feature Extraction based on Fast Fourier Transform and Wavelet Analysis for Classification of Mental Stress Levels using Machine Learning
Mental stress assessment remains riddled with biases caused by subjective reports and individual differences across societal backgrounds. To objectively determine the presence or absence of mental stress, there is a need to move away from the traditional subjective methods of self-report questionnaires and interviews. Previously, it has been evidence that EEG Oscillations can discriminate mental…
Read MoreMRI Semantic Segmentation based on Optimize V-net with 2D Attention
Over the past ten years, deep learning models have considerably advanced research in artificial intelligence, particularly in the segmentation of medical images. One of the key benefits of medical picture segmentation is that it allows for a more accurate analysis of anatomical data by separating only pertinent areas. Numerous studies revealed that these models could…
Read MoreMeasurement System for Evaluation of Radar Algorithms using Replication of Vital Sign Micro Movement and Dynamic Clutter
In this paper we present a measurement system that is able to evaluate radar algorithms for vital signs sensing applications. For such medical applications, it is crucial to develop robust and reliable algorithms that are tested in a laboratory environment. The presented measurement system generates reproducible vital sign micro movement and dynamic clutter using loudspeakers…
Read MoreDesign, Optimization and Simulation of a New Decoder for Reed Solomon and BCH Codes using the New Syndromes Block
In this paper, a new syndrome block for Reed Solomon RS and BCH codes used respectively in digital Video broadcasting DVB-S and DVB-S2 has been presented in order to reduce the number of iterations compared to the existed block, which can be found in the literature, the new method is based on a factorization of…
Read MoreAn Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read MoreAutomated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…
Read MoreMethodology for Calculating Shock Loads on the Human Foot
The leading place among diseases of the musculoskeletal system is occupied by various feet deformations. Clinical movement analysis and posturological examination are required to objectively assess the distribution for load caused by the weight of human body on the feet and its locomotion effect. In normal conditions, the foot is exposed to elastic deformations. When…
Read MoreA Study on Novel Hand Hygiene Evaluation System using pix2pix
The novel coronavirus infection (COVID-19), which appeared at the end of 2019 has developed into a global pandemic with numerous deaths, and has also become a serious social concern. The most important and basic measure for preventing infection is hand hygiene. In this study, by photographing palm images of nursing students after hand-washing, using fluorescent…
Read MoreCoupled Apodization Functions Applied to Enhance Image Quality in Ultrasound Imaging using Phased Arrays
The remarkable presence of side lobes levels in ultrasound B-mode imaging significantly decreases the image quality. Therefore, the use of an apodization function is of great importance. Linear windowing functions are among the most efficient techniques used to optimize antenna directivity by suppression of the side lobes. However, the apodization causes the degradation of lateral…
Read MoreThe Effect of Myocardial Fat’s Thickness and Myocardial Impedance on Bipolar Radiofrequency Catheter Ablation Using Computer Simulation
Radiofrequency catheter ablation is routinely used for the therapy of cardiac arrhythmias. Compared with the traditional unipolar ablation, bipolar ablation may improve the controllability of treatment, and prevent side effects and complications caused by catheter ablation. In addition, the variations of myocardial fat’s thickness and myocardial impedance may have significant influence on the performance of…
Read MoreA Design of Anthropomorphic Hand based on Human Finger Anatomy
In the past decade, multiple anthropomorphic prosthetic hands have been developed to replace the role of human hands. Prostheses should not only replace the functions of human hands in functionality but also replicate human hands in appearance and sense of body-belonging intuitively. Human fingers have very delicate and complex structures, and it is these complex…
Read MoreRemote Patient Monitoring Systems with 5G Networks
The new generation of mobile communications and the recent advances in data management are going to enable a fast transformation in the health sector of many countries. 5G networks, with superior technical characteristics, would allow the development of a new set of application and services gathered under the concept of eHealth. In this article we…
Read MoreElectroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli
A methodology of medical signal-based biometrics has been proposed in this paper for implementing a human identification system controlled by electroencephalogram in respect of different color stimuli. The advantage of biosignal based biometrics is that they provide more efficient operation in simple experimental condition to ensure accurate identification. Red, Green, Blue (primary colors) and Yellow…
Read MoreHuman Emotion Recognition Based on EEG Signal Using Fast Fourier Transform and K-Nearest Neighbor
Human emotional states can transform naturally and are recognizable through facial expressions, voices, or body movements, influenced by received stimuli. However, the articulation of emotions is not practicable by every individual, even when feelings of joy, sadness, or otherwise are experienced. Biomedically, emotions affect brain wave activities, as the continuously functioning brain cells communicate through…
Read MoreDesign and Development of Electronic Sensor and Monitoring System of Smart Low-cost Phototherapy Light System for Non-Invasive Monitoring and Treatment of Neonatal Jaundice
This paper showcases our previous and continuously improving development at Ateneo Innovation Center (AIC) and partners in designing and further enhancing the existing Low-cost Phototherapy Light System (LPLS) and Improved Low-cost Phototherapy Light System (ILPLS) to the new Smart Low-cost Phototherapy Light System (Smart LPLS) with non-invasive jaundice monitoring for newborns with Neonatal Jaundice (NNJ).…
Read MoreInteractive Virtual Rehabilitation for Aphasic Arabic-Speaking Patients
Objective: Individuals with aphasia often experience significant problems in their daily lives and social participation. Technologies that address speech and language disorders deficit in merging between therapist’s major role and reinforcing the training between sessions at home. It also lacks the Arabic language attention; however, current systems are typically expensive and lack amusement. Moreover, cumulative…
Read MorePosture Recognition Method for Caregivers during Postural Change of a Patient on a Bed using Wearable Sensors
Caregivers experience lower back pain due to their awkward postures while handling patients. Therefore, a monitoring system to supervise caregivers’ postures using wearable sensors is being developed. This study proposed a postural recognition method for caregivers during postural change while handling a patient on a bed. The proposed method recognizes foot positions and arm movements…
Read MoreUsing the Neural Network to Diagnose the Severity of Heart Disease in Patients Using General Specifications and ECG Signals Received from the Patients
Nowadays, heart diseases cause the maximum death in the world. Also, due to the noticeable increase of heart diseases, studying this field is one of the important matters in medical community. Therefore, this study tries to benefit using information in data base of cardiac arrhythmia and employ arterial intelligent and neural network, in order to…
Read MoreDesign of High Output Impedance, Large Voltage Compliance Output Stage of Implantable Hypoglossal Nerve Stimulator (HGNS) for OSA Treatment
Obstructive Sleep Apnea (OSA) is a potentially common sleep disorder manifested in upper airways’ collapse, either partially or completely. If diagnosed late and untreated, it may result in serious complications. The standard golden method, useful for treating OSA, remains the full night Continuous Positive Airway Pressure (CPAP). Yet, due to the ensuing discomfort it incurs…
Read MorePiezoelectric Teeth Aligners to Accelerate Orthodontics Treatment
In this paper, we are proposing a device that generates vibration to possibly reduce the duration required for the orthodontic treatment by enhancing the tooth movement. This is achieved by harmonically exciting a bio-compatible material, namely polyvinylidene fluoride (PVDF) to generate vibration and consequently a cyclic force at a low frequency of 30 Hz. (PVDF)…
Read MoreActigraph Analysis of Elderly Dementia Patients During Phototherapy Using Non-Linear Analysis
Dementia is one of the three primary diseases that increases the level of nursing care required for the elderly. Dementia can lead to an increased burden not only on those who have contracted it, but also their families and the surrounding environment; initiatives for preventing dementia and slowing the decline of cognitive function are expected…
Read MoreDesign of Interactive Aids for Children’s Teeth Cleaning Habits
Dental plaque is considered a possible causative agent of major dental diseases. People must develop oral care skills at an early age with family support. This study aims to assist parents and to reduce children’s fear while cleaning their teeth. An interactive game challenges children’s brushing ability. Arduino modules and software platform was utilized to…
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